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NVIDIA Nemotron Open-Source AI Models Drive Innovation

September 25, 2025•Bryan Catanzaro•Original Link•2 minutes
ArtificialIntelligence
OpenSource
NVIDIA

NVIDIA Nemotron offers open-source AI models, datasets, and tools for developers and enterprises to build powerful and specialized AI applications.

NVIDIA has unveiled its Nemotron family of open-source multimodal AI models, datasets, and techniques, designed to empower developers and enterprises in building advanced AI applications. The technology is freely available for research and commercial use across various platforms, from local PCs to large-scale enterprise systems.

What is NVIDIA Nemotron?

Nemotron includes:

  • State-of-the-art multimodal models excelling in reasoning, math, coding, and visual tasks.
  • Pretraining and post-training datasets for teaching AI language, math, and problem-solving.
  • Numerical precision algorithms to enhance speed and accuracy.
  • Scalable system software optimized for GPU clusters.
  • Post-training methodologies to refine AI for specific tasks.

Developers can access Nemotron on GitHub, Hugging Face, and OpenRouter.

Generalized vs. Specialized Intelligence

Nemotron supports both generalized intelligence (broad problem-solving) and specialized intelligence (industry-specific applications). Tools like NVIDIA NeMo and NVIDIA Dynamo help customize AI models for specialized use cases.

Real-World Applications

Leading companies are leveraging Nemotron:

  • CrowdStrike integrates Nemotron for AI-powered security agents.
  • DataRobot uses it for scalable AI agent workforce management.
  • ServiceNow employs the Apriel Nemotron 15B model for workflow automation.
  • UK-LLM, a sovereign AI initiative, developed bilingual reasoning models using Nemotron.

NVIDIA also collaborates with the broader AI community, incorporating innovations from Alibaba’s Qwen, DeepSeek R1, OpenAI, and Meta’s Llama to enhance Nemotron’s capabilities.

Future Innovations

Nemotron’s development informs NVIDIA’s next-gen systems like Grace Blackwell and Vera Rubin. Breakthroughs like NVFP4, a 4-bit data format discovered via Nemotron, are shaping future GPU architectures.

Developers can start experimenting with Nemotron on Hugging Face or OpenRouter.

Join NVIDIA at Agentic AI Day on Oct. 29 to explore the future of AI agents.

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October 2, 2025•Almir Vuk

Microsoft Releases Open-Source AI Agent Framework

Microsoft unveils its open-source Agent Framework to streamline AI agent development with enterprise-ready tools and simplified coding.

Microsoft
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OpenSource
September 30, 2025•OpenSystems Media

Dataminr Launches Agentic AI Intel Agents for Real-Time Physical World Events

Dataminr expands its Intel Agents to provide real-time AI-powered event context across emergency response, defense, cybersecurity, and corporate security sectors.

ArtificialIntelligence
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About the Author

Dr. Sarah Chen

Dr. Sarah Chen

AI Research Expert

A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.

Expertise

Machine Learning
Natural Language Processing
Deep Learning
AI Ethics
Experience
15 years
Publications
120+
Credentials
3
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